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Mancuso M, Iosa M, Morone G, De Bartolo D, Irene C. How Do the Timing of Early Rehabilitation Together with Cognitive and Functional Variables Influence Stroke Recovery? Results from the CogniReMo Italian Multicentric Study. Healthcare (Basel) 2025; 13:316. [PMID: 39942505 PMCID: PMC11817751 DOI: 10.3390/healthcare13030316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2024] [Revised: 01/23/2025] [Accepted: 02/01/2025] [Indexed: 02/16/2025] Open
Abstract
Background: The time lapse between the acute event and the beginning of rehabilitation seems to play a significant role in determining the effectiveness of rehabilitation together with the severity of neurological deficits and impairments of motor and cognitive functions. The present study aims to further explore the prognostic role of cognitive and motor functions, concerning the different times of the beginning of neurorehabilitation. Methods: A secondary examination was conducted by applying a cluster analysis on the data of 386 stroke patients in the subacute phase who were enrolled in the Cognitive and Recovery of Motor Functions (CogniReMo) study. Results: The Barthel Index at the admission predicts clinical outcome: if BI was 0, it was on average 28.7 ± 24.1 at discharge. For patients with Barthel Index <15 at discharge, the discriminant was unaltered executive functions having an average output of 61.3 instead of 45.5. In the range of BI at admission between 16 and 45, the discriminant variable was to have an NIHSS ≤ 5 to obtain a high outcome (BI = 75.4 instead of BI = 61.9). Subjects with a BI at admission >45 were the best responders to rehabilitation, with a mean BI at discharge of 85 if they have alteration in spatial attention, and 95.3 if they have no deficits in spatial attention. Also, for inpatients hospitalized in a period ranging from the 20th to the 37th day after stroke, spatial attention was a discriminant variable to have a poor outcome (BI = 34.3) vs. a good one (BI = 76.7). Conclusions: The algorithm identified a hierarchical decision tree that might assume a significant role for clinicians in defining an appropriate rehabilitation pathway, depending on the time of rehabilitation beginning and the severity of motor and cognitive deficits.
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Affiliation(s)
- Mauro Mancuso
- Physical and Rehabilitative Medicine Unit, South-East Tuscany Regional Health Service, 58100 Grosseto, Italy;
- Tuscany Rehabilitation Clinic, 52025 Montevarchi, Italy
| | - Marco Iosa
- Department of Psychology, Faculty of Medicine and Psychology, Sapienza University of Rome, 00185 Rome, Italy
- Smart-Lab, Santa Lucia Foundation-IRCCS, 00179 Rome, Italy
| | - Giovanni Morone
- Department of Life, Health and Environmental Sciences, University of L’Aquila, 67100 L’Aquila, Italy; (G.M.); (C.I.)
- San Raffaele Istitute of Sumona, 67039 Sulmona, Italy
| | - Daniela De Bartolo
- Department of Developmental and Social Psychology, Faculty of Medicine and Psychology, Sapienza University of Rome, 00185 Rome, Italy
| | - Ciancarelli Irene
- Department of Life, Health and Environmental Sciences, University of L’Aquila, 67100 L’Aquila, Italy; (G.M.); (C.I.)
- San Raffaele Istitute of Sumona, 67039 Sulmona, Italy
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2
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Pini E, Pepe F, Laini V, Ciccarelli N, Magni E. Early neuropsychological screening and long-term functional outcome in a sample of patients affected by mild stroke: The ReSCog Project. J Neuropsychol 2024. [PMID: 39710868 DOI: 10.1111/jnp.12408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Accepted: 12/09/2024] [Indexed: 12/24/2024]
Abstract
Stroke causes severe long-term disabilities with a significant reduction in quality of life. This study aims to explore the predictive value of cognitive screening in the acute phase of mild stroke on patients' functional outcome after discharge. A total of 110 patients with mild stroke were recruited. Patients were included in the study if they were discharged directly home from the acute units. The cognitive profile of patients was assessed with the Oxford Cognitive Screen (OCS). The OCS was administered 3-10 days after stroke, providing a five domain-specific cognitive profile. Long-term functional outcomes were evaluated by the Stroke Impact Scale 3.0 (SIS 3.0), a self-reported questionnaire that includes physical, cognitive, emotional and social participation dimensions. All patients completed the survey online on average 10 months after stroke. Our results show that OCS is positively associated with physical and cognitive dimensions, after adjusting for age and stroke severity measured by NIHSS at admission. In conclusion, OCS in acute mild stroke seems to be an independent predictor of long-term functional outcomes and could help clinicians in the long-term management of patients.
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Affiliation(s)
- Elisa Pini
- FONDAZIONE POLIAMBULANZA Istituto Ospedaliero, Brescia, Italy
| | - Fulvio Pepe
- FONDAZIONE POLIAMBULANZA Istituto Ospedaliero, Brescia, Italy
| | - Veronica Laini
- FONDAZIONE POLIAMBULANZA Istituto Ospedaliero, Brescia, Italy
- Department of Psychology, Catholic University Milan, Milan, Italy
| | - Nicoletta Ciccarelli
- Department of Theoretical and Applied Sciences, eCampus University, Novedrate, Italy
| | - Eugenio Magni
- FONDAZIONE POLIAMBULANZA Istituto Ospedaliero, Brescia, Italy
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3
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Moore MJ, Mattingley JB, Demeyere N. Multivariate and network lesion mapping reveals distinct architectures of domain-specific post-stroke cognitive impairments. Neuropsychologia 2024; 204:109007. [PMID: 39362629 DOI: 10.1016/j.neuropsychologia.2024.109007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2024] [Revised: 08/20/2024] [Accepted: 10/01/2024] [Indexed: 10/05/2024]
Abstract
BACKGROUND The purpose of this study was to identify patterns of structural disconnection and multivariate lesion-behaviour relationships associated with post-stroke deficits across six commonly impacted cognitive domains: executive function, language, memory, numerical processing, praxis, and visuospatial attention. METHODS Stroke survivors (n = 593) completed a brief domain-specific cognitive assessment (the Oxford Cognitive Screen (OCS)) during acute hospitalisation. Network-level and multivariate (sparce canonical correlation) lesion mapping analyses were conducted to identify focal neural correlates and distributed patterns of structural disconnection associated with impairment on each of the 16 OCS measures. RESULTS Network-level and multivariate lesion mapping analyses identified significant correlates for 12/16 and 10/16 OCS measures, respectively which were largely consistent with correlates reported in past work. Language impairments were reliably localised to network- and voxel-level correlates centred in left fronto-temporal regions. Memory impairments were associated with disconnection in a large network of left hemisphere regions. Number processing deficits were associated with damage to voxels centred in the left insular/opercular cortex, as well as disconnection within the surrounding white matter tracts. Within the domain of attention, different subtypes of visuospatial neglect were linked to distinct but partially overlapping patterns of disconnection and voxel-level damage. Praxis impairment was not linked to any voxel-level regions but was significantly associated with disconnection within the left hemisphere dorsal attention network. CONCLUSION These results highlight the utility of routine, domain-specific cognitive assessment and imaging data for theoretically-driven lesion mapping analyses, while providing novel insight into the complex anatomical correlates of common and debilitating post-stroke cognitive impairments.
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Affiliation(s)
- Margaret Jane Moore
- Queensland Brain Institute & School of Psychology, The University of Queensland, St Lucia, 4072, Australia.
| | - Jason B Mattingley
- Queensland Brain Institute & School of Psychology, The University of Queensland, St Lucia, 4072, Australia; Canadian Institute for Advanced Research, Toronto, Canada
| | - Nele Demeyere
- Department of Experimental Psychology, University of Oxford, United Kingdom; Nuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom
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Alexandrova M. Potential challenges to harmonize post-stroke cognitive assessment and its prognostic value: a narrative review. J Med Life 2024; 17:963-977. [PMID: 39781311 PMCID: PMC11705473 DOI: 10.25122/jml-2024-0284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2024] [Accepted: 09/18/2024] [Indexed: 01/12/2025] Open
Abstract
With advances in scientific and clinical knowledge, stroke has evolved from a major cause of death to a chronic condition affecting the daily lives of sufferers, their relatives, and society. Post-stroke cognitive impairment (PSCI) is common even among individuals with good neurological recovery. When deciding on interventions aimed to improve the life quality of post-stroke patients, identifying those at high risk of cognitive decline proves crucial. Given the complexity of PSCI assessment, this narrative review discusses the feasibility of developing standardized criteria for selecting cognitive instruments. Potential approaches for establishing harmonized procedures for post-stroke cognitive assessment are presented depending on how the cognitive impairment is defined, the cognitive domains examined, the methods used to generalize cognitive data by components/domains, and their normalization against standardized normative samples. The prognostic value of cognitive assessment to identify patients at high risk of PSCI, functional dependence, and poor survival is also discussed. Implementing harmonized criteria for assessing the cognitive status of stroke patients could reduce the now considerable heterogeneity between studies and serve as a reliable basis for determining the prevalence and predicting the occurrence/aggravation of PSCI.
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Key Words
- ACE-R, Addenbrooke's Cognitive Examination-Revised;
- AUC, area under the curve;
- CI, confidence interval;
- DSM-5, Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition;
- HR, hazard ratio;
- ICH, intracerebral hemorrhage;
- IST, Isaacs Set Test;
- MCI, mild cognitive impairment;
- MMSE, Mini-Mental State Examination;
- MoCA, Montreal Cognitive Assessment;
- NIHSS, National Institutes of Health Stroke Scale;
- NPV, negative predictive value;
- OCS, Oxford Cognitive Screen;
- OR, odds ratio;
- PPV, positive predictive value;
- PSCI
- PSCI, post-stroke cognitive impairment;
- SD, standard deviation;
- TIA, transient ischemic attack;
- VASCOG, Vascular Behavioral and Cognitive Disorders;
- VCD,vascular cognitive disorders
- cognitive assessment
- harmonized criteria
- mRS, modified Rankin scale;
- prognosis
- stroke
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Affiliation(s)
- Margarita Alexandrova
- Department of Medical Physics and Biophysics, Medical University-Pleven, Pleven, Bulgaria
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Milosevich ET, Moore MJ, Pendlebury ST, Demeyere N. Domain-specific cognitive impairment 6 months after stroke: The value of early cognitive screening. Int J Stroke 2024; 19:331-341. [PMID: 37749759 PMCID: PMC10903146 DOI: 10.1177/17474930231205787] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 09/12/2023] [Indexed: 09/27/2023]
Abstract
BACKGROUND Cognitive screening following stroke is widely recommended, yet few studies have considered the prognostic value of acute domain-specific function for longer-term cognitive outcome. Identifying which post-stroke cognitive impairments more commonly occur, recover, and persist, and which impairments hold prognostic value, could inform care planning, and resource allocation. AIMS This study aimed to determine the prevalence of domain-specific impairment acutely and at 6 months, assess the proportion of change in cognitive performance, and examine the prognostic value of acute domain-specific cognitive screening. METHODS A prospective stroke cohort completed the Oxford Cognitive Screen acutely (⩽2 weeks) and 6 months post-stroke. We determined the prevalence of acute and 6-month domain-specific impairment and proportion of change in performance from acute to 6 months. Hierarchical multivariable regression was used to predict global and domain-specific cognitive impairment at 6 months adjusted for demographic/vascular factors, stroke severity, and lesion volume. RESULTS A total of 430 stroke survivors (mean/SD age 73.9/12.5 years, 46.5% female, median/interquartile range (IQR) National Institute of Health Stroke Scale (NIHSS) 5/2-10) completed 6-month follow-up. Acutely, domain-specific impairments were highly prevalent ranging from 26.7% (n = 112) in praxis to 46.8% (n = 183) in attention. At 6 months, the proportion of domain-specific recovery was highest in praxis (n = 73, 71%) and lowest in language (n = 89, 46%) and memory (n = 82, 48%). Severity of 6-month cognitive impairment was best predicted by the addition of acute cognitive impairment (adj R2 = 0.298, p < 0.0001) over demographic and clinical factors alone (adj R2 = 0.105, p < 0.0001). Acute cognitive function was the strongest predictor of 6-month cognitive performance (p < 0.0001). Acute domain-specific impairments in memory (p < 0.0001), language (p < 0.0001), and praxis (p < 0.0001) significantly predicted overall severity of cognitive impairment at 6 months. CONCLUSION Post-stroke cognitive impairment is highly prevalent across all domains acutely, while impairments in language, memory, and attention predominate at 6 months. Early domain-specific screening can provide valuable prognostic information for longer-term cognitive outcomes.
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Affiliation(s)
- Elise T Milosevich
- Department of Experimental Psychology, Radcliffe Observatory Quarter, University of Oxford, Oxford, UK
| | - Margaret J Moore
- Department of Experimental Psychology, Radcliffe Observatory Quarter, University of Oxford, Oxford, UK
- Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia
| | - Sarah T Pendlebury
- Wolfson Centre for Prevention of Stroke and Dementia, Wolfson Building, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- NIHR Oxford Biomedical Research Centre and Departments of General Medicine and Geratology, John Radcliffe Hospital, Oxford, UK
| | - Nele Demeyere
- Department of Experimental Psychology, Radcliffe Observatory Quarter, University of Oxford, Oxford, UK
- Wolfson Centre for Prevention of Stroke and Dementia, Wolfson Building, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
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Basagni B, Malloggi S, Polito C, Pellicciari L, Campagnini S, Pancani S, Mannini A, Gemignani P, Salvadori E, Marignani S, Giovannelli F, Viggiano MP, Hakiki B, Grippo A, Macchi C, Cecchi F. MoCA Domain-Specific Pattern of Cognitive Impairment in Stroke Patients Attending Intensive Inpatient Rehabilitation: A Prospective Study. Behav Sci (Basel) 2024; 14:42. [PMID: 38247694 PMCID: PMC10813017 DOI: 10.3390/bs14010042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 12/18/2023] [Accepted: 12/24/2023] [Indexed: 01/23/2024] Open
Abstract
A domain-specific perspective to cognitive functioning in stroke patients may predict their cognitive recovery over time and target stroke rehabilitation intervention. However, data about domain-specific cognitive impairment after stroke are still scarce. This study prospectively investigated the domain-specific pattern of cognitive impairments, using the classification proposed by the Montreal Cognitive Assessment (MoCA), in a cohort of 49 stroke patients at admission (T0), discharge (T1), and six-month follow-up (T2) from subacute intensive rehabilitation. The predictive value of T0 cognitive domains cognitive impairment at T1 and T2 was also investigated. Patients' cognitive functioning at T0, T1, and T2 was assessed through the MoCA domains for executive functioning, attention, language, visuospatial, orientation, and memory. Different evolutionary trends of cognitive domain impairments emerged across time-points. Patients' impairments in all domains decreased from T0 to T1. Attention and executive impairments decreased from T0 to T2 (42.9% and 26.5% to 10.2% and 18.4%, respectively). Conversely, altered visuospatial, language, and orientation increased between T1 and T2 (16.3%, 36.7%, and 40.8%, respectively). Additionally, patients' global cognitive functioning at T1 was predicted by the language and executive domains in a subacute phase (p = 0.031 and p = 0.001, respectively), while in the long term, only attention (p = 0.043) and executive (p = 0.019) domains intervened. Overall, these results confirm the importance of a domain-specific approach to target cognitive recovery across time in stroke patients.
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Affiliation(s)
- Benedetta Basagni
- IRCCS Fondazione Don Carlo Gnocchi, 50143 Firenze, Italy; (B.B.); (S.M.); (C.P.); (L.P.); (S.P.); (A.M.); (P.G.); (E.S.); (S.M.); (B.H.); (A.G.); (C.M.); (F.C.)
| | - Serena Malloggi
- IRCCS Fondazione Don Carlo Gnocchi, 50143 Firenze, Italy; (B.B.); (S.M.); (C.P.); (L.P.); (S.P.); (A.M.); (P.G.); (E.S.); (S.M.); (B.H.); (A.G.); (C.M.); (F.C.)
| | - Cristina Polito
- IRCCS Fondazione Don Carlo Gnocchi, 50143 Firenze, Italy; (B.B.); (S.M.); (C.P.); (L.P.); (S.P.); (A.M.); (P.G.); (E.S.); (S.M.); (B.H.); (A.G.); (C.M.); (F.C.)
| | - Leonardo Pellicciari
- IRCCS Fondazione Don Carlo Gnocchi, 50143 Firenze, Italy; (B.B.); (S.M.); (C.P.); (L.P.); (S.P.); (A.M.); (P.G.); (E.S.); (S.M.); (B.H.); (A.G.); (C.M.); (F.C.)
| | - Silvia Campagnini
- IRCCS Fondazione Don Carlo Gnocchi, 50143 Firenze, Italy; (B.B.); (S.M.); (C.P.); (L.P.); (S.P.); (A.M.); (P.G.); (E.S.); (S.M.); (B.H.); (A.G.); (C.M.); (F.C.)
| | - Silvia Pancani
- IRCCS Fondazione Don Carlo Gnocchi, 50143 Firenze, Italy; (B.B.); (S.M.); (C.P.); (L.P.); (S.P.); (A.M.); (P.G.); (E.S.); (S.M.); (B.H.); (A.G.); (C.M.); (F.C.)
| | - Andrea Mannini
- IRCCS Fondazione Don Carlo Gnocchi, 50143 Firenze, Italy; (B.B.); (S.M.); (C.P.); (L.P.); (S.P.); (A.M.); (P.G.); (E.S.); (S.M.); (B.H.); (A.G.); (C.M.); (F.C.)
| | - Paola Gemignani
- IRCCS Fondazione Don Carlo Gnocchi, 50143 Firenze, Italy; (B.B.); (S.M.); (C.P.); (L.P.); (S.P.); (A.M.); (P.G.); (E.S.); (S.M.); (B.H.); (A.G.); (C.M.); (F.C.)
| | - Emilia Salvadori
- IRCCS Fondazione Don Carlo Gnocchi, 50143 Firenze, Italy; (B.B.); (S.M.); (C.P.); (L.P.); (S.P.); (A.M.); (P.G.); (E.S.); (S.M.); (B.H.); (A.G.); (C.M.); (F.C.)
| | - Sara Marignani
- IRCCS Fondazione Don Carlo Gnocchi, 50143 Firenze, Italy; (B.B.); (S.M.); (C.P.); (L.P.); (S.P.); (A.M.); (P.G.); (E.S.); (S.M.); (B.H.); (A.G.); (C.M.); (F.C.)
| | - Fabio Giovannelli
- Department of NEUROFARBA, University of Florence, 50143 Firenze, Italy; (F.G.); (M.P.V.)
| | - Maria Pia Viggiano
- Department of NEUROFARBA, University of Florence, 50143 Firenze, Italy; (F.G.); (M.P.V.)
| | - Bahia Hakiki
- IRCCS Fondazione Don Carlo Gnocchi, 50143 Firenze, Italy; (B.B.); (S.M.); (C.P.); (L.P.); (S.P.); (A.M.); (P.G.); (E.S.); (S.M.); (B.H.); (A.G.); (C.M.); (F.C.)
| | - Antonello Grippo
- IRCCS Fondazione Don Carlo Gnocchi, 50143 Firenze, Italy; (B.B.); (S.M.); (C.P.); (L.P.); (S.P.); (A.M.); (P.G.); (E.S.); (S.M.); (B.H.); (A.G.); (C.M.); (F.C.)
| | - Claudio Macchi
- IRCCS Fondazione Don Carlo Gnocchi, 50143 Firenze, Italy; (B.B.); (S.M.); (C.P.); (L.P.); (S.P.); (A.M.); (P.G.); (E.S.); (S.M.); (B.H.); (A.G.); (C.M.); (F.C.)
- Department of Experimental and Clinical Medicine, University of Florence, 50143 Firenze, Italy
| | - Francesca Cecchi
- IRCCS Fondazione Don Carlo Gnocchi, 50143 Firenze, Italy; (B.B.); (S.M.); (C.P.); (L.P.); (S.P.); (A.M.); (P.G.); (E.S.); (S.M.); (B.H.); (A.G.); (C.M.); (F.C.)
- Department of Experimental and Clinical Medicine, University of Florence, 50143 Firenze, Italy
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Moore MJ, Demeyere N, Rorden C, Mattingley JB. Lesion mapping in neuropsychological research: A practical and conceptual guide. Cortex 2024; 170:38-52. [PMID: 37940465 PMCID: PMC11474248 DOI: 10.1016/j.cortex.2023.10.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Revised: 10/10/2023] [Accepted: 10/10/2023] [Indexed: 11/10/2023]
Affiliation(s)
- Margaret J Moore
- Queensland Brain Institute, The University of Queensland, St. Lucia, Australia.
| | - Nele Demeyere
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Chris Rorden
- Department of Psychology, University of South Carolina, Colombia, SC, USA
| | - Jason B Mattingley
- Queensland Brain Institute, The University of Queensland, St. Lucia, Australia; School of Psychology, The University of Queensland, St. Lucia, Australia
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